Data Scientist, Global E-commerce

TikTok Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach. Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success.

    Numbers & Facts

    LocationSeattle, WA

    Description

    About the team: Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

    Responsibilities:

    • Build out reporting to track product performance using data visualization tools.
    • Bring strong desire to learn in a fast paced environment while collaborating with business stakeholders and technical leads.
    • Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success.
    • Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they re performing at their goals. Minimum Qualifications:
    • Bachelor s degree or above in computer science, statistics, math, internet security or other relevant majors.
    • 5 years of work experience in data analytics/science or other relevant fields.
    • Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python.

    Preferred Qualifications:

    • Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies. Bonus given to proficiency in data mining skills e.g. modern machine applications.
    • Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner.

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